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基于双门限能量检测的选择式协作频谱感知
  • ISSN号:1006-9348
  • 期刊名称:《计算机仿真》
  • 时间:0
  • 分类:TN92[电子电信—通信与信息系统;电子电信—信息与通信工程]
  • 作者机构:[1]河海大学物联网工程学院,江苏常州213022
  • 相关基金:国家自然科学基金资助项目(11274092);国家中央高校基金资助项目(2011811314);中央高校基本科研业务费专项资金资助(2009831414);常州市科技支撑项目(CE20110031)
中文摘要:

关于无线通信业务的增长导致无线频谱资源紧缺问题,传统的频谱感知技术需要专有控制信道来进行数据传输,浪费了稀缺的频谱资源。针对上述情况,提出了一种无需专有控制信道的协作频谱感知的方法。同时,以双门限能量检测为基础,各认知用户采用选择式策略向融合中心报告各自的初始检测结果,分析了在瑞利衰落信道下协作频谱感知的性能。仿真结果表明,协作频谱感知方案可以在不损失ROC性能的前提下,有效地节省专有报告资源;同时,合理地增加主用户信号的检测时间可以降低虚警概率;且在相同的信噪比条件下,与传统的双门限能量检测方法相比,具有更高的检测概率。

英文摘要:

In recent years, wireless spectrum resource becomes scarcer, with the increasing wireless communica- tions business. Dedicated reporting channels are required for data transmission in the traditional spectrum sensing technology, which leads to waste of rare spectrum resources. Based on the above condition, a cooperative spectrum sensing framework without dedicated reporting channels was proposed in this paper. Simultaneously, the method of double threshold energy detection was adopted, and an alternative strategy was employed by cognitive users to report their initial testing results to the fusion center. Cooperative spectrum sensing performance of the proposed method was analyzed in the condition of Rayleigh fading channel in this paper. The simulation results demonstrate that the pro- posed method effectively saves dedicated reporting resources under the premise of without loss of receiver operating characteristics (ROC) performance. It is also indicated that false-alarm probability can be reduced by increasing de- tection time of primary user signal. Meanwhile, with the same signal-to-noise ratio (SNR), the proposed method can achieve higher detection probability compared with the traditional method of double threshold energy detection.

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期刊信息
  • 《计算机仿真》
  • 北大核心期刊(2011版)
  • 主管单位:中国航天科技科工集团公司
  • 主办单位:中国航天科工集团公司第十七研究所
  • 主编:吴连伟
  • 地址:北京市海淀区阜成路14号
  • 邮编:100048
  • 邮箱:jsjfz@compusimu;kwcoltd@public.bta.net.cn
  • 电话:010-59475138
  • 国际标准刊号:ISSN:1006-9348
  • 国内统一刊号:ISSN:11-3724/TP
  • 邮发代号:82-773
  • 获奖情况:
  • 国内外数据库收录:
  • 中国中国科技核心期刊,中国北大核心期刊(2008版),中国北大核心期刊(2011版),中国北大核心期刊(2014版)
  • 被引量:38378